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Job · Pittsburgh, PA · Full time

AI Security Software Engineer Intern – Summer 2027

Carnegie Mellon University · $2.50B budget · 16,745 staff · Since 1900

Why Carnegie Mellon University

FY2024 · Form 990Its mission and biggest programs, as filed

Provides higher education and research, supported by essential campus services.

  • Instruction: Carnegie Mellon is a hybrid of a technical institute, fine-arts conservatory and traditional research University, having evolved in response to emerging social needs and intellectual development of the past century. Uniting technology and arts, fusing the practical with the…$1.05B spent in FY2024
  • Research: Carnegie Mellon holds a proud vision of itself as a distinctive and different kind of research University where nationally recognized programs from across the leading disciplines, from computing and engineering to fine arts, intersect. IT is a decentralized community…$458.3M spent in FY2024
  • Auxiliary services: services to support the instruction and research functions of the University. These services include but are not limited to housing, dining services, parking, bookstore, printing, telecommunications, and other services related to the delivery of education and research.$162.1M spent in FY2024

Before you apply

FY2023 · Form 990Independent: from IRS data, not the org
Pays its leaders
$558K–$2.7M
12 officers reported
Fine: from the org's Form 990.
Pt VII · Sec A
Budget
$1.78B
spent in FY2023
Fine: from the org's Form 990.
Pt I · Ln 18
Staff
16,745
employees
36 volunteers
Fine: from the org's Form 990.
Pt I · Ln 5–6
Spent on programs
89%
of spending
Looks good: 89% of spending went to programs; 75% or more.
Pt IX · Ln 25 · col B
Surplus or deficit
+11%
of revenue, FY2023
Looks good: revenue was at least expenses in the latest filing.
Pt I · Ln 19
Cash reserves
40 mo
of spending, in cash and securities
Looks good: 39.6 months of spending in cash; 3 or more.
Pt X · Ln 1–2 · Pt I · Ln 18
Latest return
FY2023
latest Form 990
Fine: the latest return is for FY2023, 3 tax years back; within 3 tax years.
IRS e-file
IRS status
501(c)(3)
tax-exempt since 1992
Looks good: listed by the IRS.
IRS BMF
Looks goodFineWorth a lookConcernTap a box for the reason.

About the role

The org's own posting, as written

What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time.

AI Security Software Engineers at the SEI use software and machine learning engineering practices, data processing, and data analytics to help our researchers solve the toughest AI security challenges across AI Assurance, Red Teaming of AI Systems, and AI Digital Forensics, Response, and Mitigation.

Position Summary

You will work as a part of the Threat Analysis Directorate within CERT and will collaborate with a group of security experts focused on advancing the state of the art and practice for analyzing, assuring, and countering software systems to enhance National Security . You will help develop machine learning based prototypes and tools to solve and automate solutions to AI Security problems. Y ou will assist in spearheading new technologies that will influence national AI and cyber security strategy, by collaborating with elite AI and cyber security professionals . You will take part in project reviews to gather feedback on prototype tool approaches and solutions.

This will include revisions, thorough documentation, and presenting work products.

Requirements

Enrolled in a degree granting program. You will be subject to a background check and must be eligible to work in the United States without Visa sponsorship. Able to work an internship during the summer Able to work onsite to the SEI Pittsburgh office Knowledge, Skills and Abilities: Have excellent written and verbal communication Proficiency with a programming language (preferably Python) Experience with developing AI/ML solutions using common software packages and tools (e.g.

PyTorch, TensorFlow) Basic familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis) Ability to collaborate internally and externally with professional engineers and researchers Willingness to learn new technologies with cross-functional teams Desired Experience: Basic understanding of software engineering best practices Experience with adversarial machine learning techniques Experience with red-teaming cyber and/or AI systems Basic understanding of cybersecurity concepts Experience with clearly documenting and communicating findings The skills listed above are a nice-to-have bonus, but not strictly necessary for this role.

Job Function Breakdown: AI Security Prototype and Tool Development: 80% Documentation of Results: 20% TOTAL = 100% This position will be onsite at the Pittsburgh office 5 days a week. Carnegie Mellon University is an Equal…

Read the full posting

About Carnegie Mellon University

From its Form 990

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